code: def random_uniform_sparse(shape, rng):
      return scipy.sparse.random(
          shape[0],
          shape[1],
          density=0.1,
          format="csr",
          random_state=rng,
      )
  
file_path: scipy/benchmarks/benchmarks/sparse_csgraph_matching.py
imports: import numpy
  import scipy.sparse
  from scipy.spatial.distance import cdist
  from .common import Benchmark, safe_import
label_desc: Use image node_id 2 for calling a global function with example usage: random_uniform_sparse(shape, rng) and returns: scipy